Mela Sciences, Inc.

Electro-Optical Sciences, Inc.

Riverside Research Institute

Dina Gutkowicz-Krusin

Marek Elbaum

Adam Jacobs

Nikolai Kabelev

Michael Greenebaum

Alexandru Bogdan

Joseph V Gulfo

Jerzy Nowakowski

A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitude of the noise for at least some pixels of the target digital image.

Reducing noise in digital images

Skin characteristics are analyzed. A device acquires a digital image of an area of skin of a user. A processor quantitatively analyzes the digital image to determine a characteristic of all or part of the area of skin which is indicative of a skin condition of interest. Depending on the results of the quantitative analysis, the processor provides information to the user about the area of skin relative to the condition of interest. The information provided to the user is not necessarily sufficient for a definitive medical diagnosis and may include an indication to the user as to whether a knowledgeable person should evaluate the area of skin.

Quantitative analysis of skin characteristics

A light image is conveyed from a biological tissue through a flexible optical system to an image receiver, where it is converted to a form which may be entered into a computer. The computer segments the image by generating a segmentation mask defining the boundary of a region of interest in at least one spectral band, estimates at least one rotationally and translationally invariant statistical measure of coefficient distributions of the multiscale wavelet maxima representations of the digital images in at least one spectral band, characterizes the condition of the tissue based on the estimated values, and outputs the characterization of the condition of the tissue.

Multispectral imaging and characterization of biological tissue

Systems and methods for the multispectral imaging of skin tissue enables automatic characterization of the condition of a region of interest of the skin, based on direct digital imaging of the region of interest or the digitization of color photographic slides of the region of interest, illuminated by appropriately filtered light. Preferably, a digital image at a low spectral band is automatically segmented and that segmented mask is used to segment the other images by a digital processor. Parameters related to the texture, asymmetry, blotchiness and border irregularities are also automatically estimated. The region of interest is automatically characterized by the digital processor, based on those parameters. The region of interest may include a skin lesion, in which case the present invention enables the characterization of the lesion as malignant or benign.

Systems and methods for the multispectral imaging and characterization of skin tissue

Systems and methods for the multispectral imaging of skin tissue enables automatic characterization of the condition of a region of interest of the skin, based on direct digital imaging of the region of interest or the digitization of color photographic slides of the region of interest, illuminated by appropriately filtered light. Preferably, a digital image at a low spectral band is automatically segmented and that segmented mask is used to segment the other images by a digital processor. Parameters are estimated through wavelet maxima representations. Parameters related to the texture, asymmetry, blotchiness and border irregularities are also automatically estimated. The region of interest is automatically characterized by the digital processor, based on those parameters. The region of interest may include a skin lesion, in which case the present invention enables the characterization of the lesion as malignant or benign. The region of interest may also include wounds or burns.

Systems and methods for the multispectral imaging and characterization

A method for self-referencing holography makes use of multiple object illuminations with different and non-uniform intensity of radiation to produce multiple holograms from the scattered radiation. Analysis of the multiple holograms provides an unambiguous image of the object.

Growing community of inventors

Princeton, NJ, United States of America

Dina Gutkowicz-Krusin